In this AI course, explore fundamentals like intelligent agents and logic systems. Discover neural networks and genetic algorithms, diving into nature-inspired methods for modern applications.

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In this course, you’ll explore AI’s fundamental concepts and practical applications. Starting with what artificial intelligence is, it covers key ideas like intelligent agents, logic systems, and problem-solving through search algorithms.

You’ll dive into core concepts such as agents, expert systems, fuzzy logic, and advanced search techniques like A* search. Through engaging, real-world examples, you’ll uncover how AI tackles complex problems. Next, you’ll explore nature-inspired algorithms, focusing on artificial neural networks for machine learning and genetic algorithms for optimization problems. These techniques will be explained in a way that highlights their inspiration from biology and their utility in modern AI applications.

After completing this course, you’ll have the knowledge and tools to understand and apply AI in various scenarios. You’ll gain a suite of AI tools and techniques and the expertise to apply them effectively to solve real-world challenges.

Artificial Intelligence Foundations: Logic, Learning, and Beyond

Learn about the design, functions, and types of AI agents and discover how they are the building blocks for creating advanced intelligent systems.

Introduction to the Course

Core Concepts of AI

Nature-Inspired AI Algorithms

Wrapping up

Agents and Intelligent Systems

Agents